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<h3>The ADOdb Performance Monitoring Library</h3>
<p>V4.21 20 Mar 2004 (c) 2000-2004 John Lim (jlim#natsoft.com.my)</p>
<p><font size="1">This software is dual licensed using BSD-Style and LGPL. This 
  means you can use it in compiled proprietary and commercial products.</font></p>
  <p>Useful ADOdb links:  <a href=http://php.weblogs.com/adodb?perf=1>Download</a> &nbsp; <a href=http://php.weblogs.com/adodb_manual?perf=1>Other Docs</a>
<h3>Introduction</h3>
<p>This module, part of the ADOdb package, provides both CLI and HTML interfaces 
  for viewing key performance indicators of your database. This is very useful 
  because web apps such as the popular phpMyAdmin currently do not provide effective 
  database health monitoring tools. The module provides the following: 
<ul>
  <li>A quick health check of your database server using <code>$perf->HealthCheck()</code> 
    or <code>$perf->HealthCheckCLI()</code>. 
  <li>User interface for performance monitoring, <code>$perf-&gt;UI()</code>. 
    This UI displays: 
    <ul>
      <li>the health check, </li>
      <li>all SQL logged and their query plans, </li>
      <li>a list of all tables in the current database</li>
      <li>an interface to continiously poll the server for key performance indicators 
        such as CPU, Hit Ratio, Disk I/O</li>
		<li>a form where you can enter and run SQL interactively.</li>
    </ul>
  <li>Gives you an API to build database monitoring tools for a server farm, for 
    example calling <code>$perf->DBParameter('data cache hit ratio')</code> returns 
    this very important statistic in a database independant manner. 
</ul>
<p>ADOdb also has the ability to log all SQL executed, using <a href=docs-adodb.htm#logsql>LogSQL</a>. 
  All SQL logged can be analyzed through the performance monitor <a href=#ui>UI</a>. 
  In the <i>View SQL</i> mode, we categorize the SQL into 3 types:
<ul>
  <li><b>Suspicious SQL</b>: queries with high average execution times, and are potential 
    candidates for rewriting</li>
  <li><b>Expensive SQL</b>: queries with high total execution times (#executions * avg 
    execution time). Optimizing these queries will reduce your database server 
    load.</li>
  <li><b>Invalid SQL</b>: queries that generate errors.</li>
</ul>
<p>Each query is hyperlinked to a description of the query plan, and every PHP 
  script that executed that query is also shown.</p>
<p>Please note that the information presented is a very basic database health 
  check, and does not provide a complete overview of database performance. Although 
  some attempt has been made to make it work across multiple databases in the 
  same way, it is impossible to do so. For the health check, we do try to display 
  the following key database parameters for all drivers:</p>
<ul>
  <li><b>data cache size</b> - The amount of memory allocated to the cache.</li>
  <li><b>data cache hit ratio</b> - A measure of how effective the cache is, as a percentage. 
  The higher, the better.</li>
  <li><b>current connections</b> - The number of sessions currently connected to the 
    database. </li>
</ul>
<p>You will need to connect to the database as an administrator to view most of 
  the parameters. </p>
<p>Code improvements as very welcome, particularly adding new database parameters 
  and automated tuning hints.</p><a name=usage></a>
<h3>Usage</h3>
<p>Currently, the following drivers: <em>mysql</em>, <em>postgres</em>, <em>oci8</em>, 
  <em>mssql</em>, <i>informix</i> and <em>db2</em> are supported. To create a 
  new performance monitor, call NewPerfMonitor( ) as demonstrated below: </p>
<pre>
&lt;?php
include_once('adodb.inc.php');
session_start(); <font color="#006600"># session variables required for monitoring</font>
$conn = ADONewConnection($driver);
$conn-&gt;Connect($server,$user,$pwd,$db);
$perf =&amp; NewPerfMonitor($conn);
$perf-&gt;UI($pollsecs=5);<font color="#006600"></font>
?>
</pre>
<p>It is also possible to retrieve a single database parameter:</p>
<pre>$size = $perf->DBParameter('data cache size');
</pre>
<p>
Thx to Fernando Ortiz for the informix module. 
<h3>Methods</h3><a name=ui></a>
<p><font face="Courier New, Courier, mono">function <b>UI($pollsecs=5)</b></font></p>
<p>Creates a web-based user interface for performance monitoring. When you click on Poll, 
server statistics will be displayed every $pollsecs seconds.  See <a href="#usage">Usage</a> 
  above. 
  <p>Since 4.11, we allow users to enter and run SQL interactively via the "Run SQL" link. To disable
  this for security reasons, set this constant before calling $perf->UI().
  <p>
    <pre>define('ADODB_PERF_NO_RUN_SQL',1);</pre>
  
 <p>Sample output follows below:</p>

<table border=1 width=100% bgcolor=lightyellow><tr>
    <td> <b><a href=http://php.weblogs.com/adodb?perf=1>ADOdb</a> Performance 
      Monitor</b> for localhost, db=test<br>
      <font size=-1>PostgreSQL 7.3.2 on i686-pc-cygwin, compiled by GCC gcc (GCC) 
      3.2 20020927 (prerelease)</font></tr>
	  <tr><td>
	<a href=#>Performance Stats</a> &nbsp; <a href=#>View SQL</a>
	 &nbsp; <a href=#>View Tables</a> &nbsp; <a href=#>Poll Stats</a></tr></table><table border=1 bgcolor=white><tr><td colspan=3><h3>postgres7</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Value</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>statistics collector</td><td>TRUE</td><td>Value must be TRUE to enable hit ratio statistics (<i>stats_start_collector</i>,<i>stats_row_level</i> and <i>stats_block_level</i> must be set to true in postgresql.conf)</td></tr>
<tr><td>data cache hit ratio</td><td>99.7967555299239</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data reads</td><td>125</td><td>&nbsp;  </td></tr>
<tr><td>data writes</td><td>21.78125000000000000</td><td>Count of inserts/updates/deletes * coef</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> &nbsp;</td></tr><tr><td>data cache buffers</td><td>640</td><td>Number of cache buffers. <a href=http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic>Tuning</a></td></tr>
<tr><td>cache blocksize</td><td>8192</td><td>(estimate)</td></tr>
<tr><td>data cache size</td><td>5M</td><td>&nbsp;</td></tr>
<tr><td>operating system cache size</td><td>80M</td><td>(effective cache size)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Memory Usage</i> &nbsp;</td></tr><tr><td>sort buffer size</td><td>1M</td><td>Size of sort buffer (per query)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> &nbsp;</td></tr><tr><td>current connections</td><td>0</td><td>&nbsp;</td></tr>
<tr><td>max connections</td><td>32</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Parameters</i> &nbsp;</td></tr><tr><td>rollback buffers</td><td>8</td><td>WAL buffers</td></tr>
<tr><td>random page cost</td><td>4</td><td>Cost of doing a seek (default=4). See <a href=http://www.varlena.com/GeneralBits/Tidbits/perf.html#less>random_page_cost</a></td></tr>
</table>
<p><font face="Courier New, Courier, mono">function <b>HealthCheck</b>()</font></p> 
<p>Returns database health check parameters as a HTML table. You will need to 
  echo or print the output of this function,</p>
<p><font face="Courier New, Courier, mono">function <b>HealthCheckCLI</b>()</font></p>
<p>Returns database health check parameters formatted for a command line interface. 
  You will need to echo or print the output of this function. Sample output for 
  mysql:</p>
<pre>
-- Ratios -- 
          MyISAM cache hit ratio => 56.5635738832 
          InnoDB cache hit ratio => 0 
             sql cache hit ratio => 0 
 -- IO -- 
                      data reads => 2622 
                     data writes => 2415.5 
 -- Data Cache -- 
          MyISAM data cache size => 512K 
             BDB data cache size => 8388600
          InnoDB data cache size => 8M
 -- Memory Pools -- 
                read buffer size => 131072 
                sort buffer size => 65528 
                     table cache => 4 
 -- Connections -- 
             current connections => 3
                 max connections => 100</pre>
<p><font face="Courier New, Courier, mono">function <b>Poll</b>($pollSecs=5) 
  </font> 
<p> Run in infinite loop, displaying the following information every $pollSecs. 
  This will not work properly if output buffering is enabled. 
  In the example below, $pollSecs=3:
<pre>
Accumulating statistics...
 Time   WS-CPU%   Hit%   Sess        Reads/s          Writes/s
11:08:30    0.7  56.56      1         0.0000            0.0000
11:08:33    1.8  56.56      2         0.0000            0.0000
11:08:36   11.1  56.55      3         2.5000            0.0000
11:08:39    9.8  56.55      2         3.1121            0.0000
11:08:42    2.8  56.55      1         0.0000            0.0000
11:08:45    7.4  56.55      2         0.0000            1.5000
</pre>
<p><b>WS-CPU%</b> is the Web Server CPU load of the server that PHP is running 
  from (eg. the database client), and not the database. The <b>Hit%</b> is the 
  data cache hit ratio. <b>Sess</b> is the current number of sessions connected 
  to the database. If you are using persistent connections, this should not change 
  much. The <b>Reads/s</b> and <b>Writes/s</b> are synthetic values to give the 
  viewer a rough guide to I/O, and are not to be taken literally. 
<p><font face="Courier New, Courier, mono">function <b>SuspiciousSQL</b>($numsql=10)</font></p>
<p>Returns SQL which have high average execution times as a HTML table. Each sql statement
is hyperlinked to a new window which details the execution plan and the scripts that execute this SQL.
<p> The number of statements returned is determined by $numsql. Data is taken from the adodb_logsql table, where the sql statements are logged when
$connection->LogSQL(true) is enabled. The adodb_logsql table is populated using <a href=docs-adodb.htm#logsql>$conn->LogSQL</a>.
<p>For Oracle, Ixora Suspicious SQL returns a list of SQL statements that are most cache intensive as a HTML table. 
  These are data intensive SQL statements that could benefit most from tuning. 
 
<p><font face="Courier New, Courier, mono">function <b>ExpensiveSQL</b>($numsql=10)</font></p>
<p>Returns SQL whose total execution time (avg time * #executions) is high as a HTML table. Each sql statement
is hyperlinked to a new window which details the execution plan and the scripts that execute this SQL.
<p> The number of statements returned is determined by $numsql. Data is taken from the adodb_logsql table, where the sql statements are logged when
$connection->LogSQL(true) is enabled. The adodb_logsql table is populated using <a href=docs-adodb.htm#logsql>$conn->LogSQL</a>.

<p>For Oracle, Ixora Expensive SQL returns a list of SQL statements that are taking the most CPU load 
when run.
<p><font face="Courier New, Courier, mono">function <b>InvalidSQL</b>($numsql=10)</font></p>
<p>Returns a list of invalid SQL as an HTML table.
<p>Data is taken from the adodb_logsql table, where the sql statements are logged when
$connection->LogSQL(true) is enabled.
<p><font face="Courier New, Courier, mono">function <b>Tables</b>($orderby=1)</font></p>
<p>Returns information on all tables in a database, with the first two fields 
  containing the table name and table size, the remaining fields depend on the 
  database driver. If $orderby is set to 1, it will sort by name. If $orderby 
  is set to 2, then it will sort by table size. Some database drivers (mssql and 
  mysql) will ignore the $orderby clause. For postgresql, the information is up-to-date 
  since the last <i>vacuum</i>. Not supported currently for db2.</p>
<h3>Raw Functions</h3>
<p>Raw functions return values without any formatting.</p>
<p><font face="Courier New, Courier, mono">function <b>DBParameter</b>($paramname)</font></p>
<p>Returns the value of a database parameter, such as $this-&gt;DBParameter(&quot;data 
  cache size&quot;).</p>
<p><font face="Courier New, Courier, mono">function <b>CPULoad</b>()</font></p>
<p>Returns the CPU load of the database client (NOT THE SERVER) as a percentage. 
  Only works for Linux and Windows. For Windows, WMI must be available.</p>
<h3>Format of $settings Property</h3>
<p> To create new database parameters, you need to understand $settings. The $settings 
  data structure is an associative array. Each element of the array defines a 
  database parameter. The key is the name of the database parameter. If no key is defined,
  then it is assumed to be a section break, and the value is the name of the section break.
  If this is too confusing, looking at the source code will help a lot!</p>
<p> Each database parameter is itself an array consisting of the following elements:</p>
<ol start="0">
  <li> Category code, used to group related db parameters. If the category code is 'HIDE', then
the database parameter is not shown when HTML() is called. <br>
  </li>
  <li> either 
    <ol type="a">
      <li>sql string to retrieve value, eg. "select value from v\$parameter where 
        name='db_block_size'", </li>
      <li>array holding sql string and field to look for, e.g. array('show variables','table_cache'); 
        optional 3rd parameter is the $rs-&gt;fields[$index] to use (otherwise 
        $index=1), and optional 4th parameter is a constant to multiply the result 
        with (typically 100 for percentage calculations),</li>
      <li>a string prefixed by =, then a PHP method of the class is invoked, e.g. 
        to invoke $this->GetIndexValue(), set this array element to '=GetIndexValue', 
        <br>
      </li>
    </ol>
  </li>
  <li> Description of database parameter. If description begins with an =, then 
    it is interpreted as a method call, just as in (1c) above, taking one parameter, 
    the current value. E.g. '=GetIndexDescription' will invoke $this->GetIndexDescription($val). 
    This is useful for generating tuning suggestions. For an example, see WarnCacheRatio().</li>
</ol>
<p>Example from MySQL, table_cache database parameter:</p>
<pre>'table cache' =&gt; array('CACHE',            # category code
   array(&quot;show variables&quot;, 'table_cache'), # array (type 1b)
   'Number of tables to keep open'),       # description</pre>
<h3>Example Health Check Output</h3>
<p><a href="#db2">db2</a> <a href=#informix>informix</a> <a href="#mysql">mysql</a> <a href="#mssql">mssql</a> 
  <a href="#oci8">oci8</a> <a href="#postgres">postgres</a></p>
<p><a name=db2></a></p>
<table border=1 bgcolor=white>
  <tr> 
    <td colspan=3> <h3>db2</h3></td>
  </tr>
  <tr> 
    <td><b>Parameter</b></td>
    <td><b>Value</b></td>
    <td><b>Description</b></td>
  </tr>
  <tr bgcolor=#F0F0F0> 
    <td colspan=3><i>Ratios</i> &nbsp;</td>
  </tr>
  <tr bgcolor=#FFFFFF> 
    <td>data cache hit ratio</td>
    <td>0 &nbsp; </td>
    <td>&nbsp;</td>
  </tr>
  <tr bgcolor=#F0F0F0>
    <td colspan=3><i>Data Cache</i></td>
  </tr>
  <tr bgcolor=#FFFFFF> 
    <td>data cache buffers</td>
    <td>250 &nbsp; </td>
    <td>See <a href=http://www7b.boulder.ibm.com/dmdd/library/techarticle/anshum/0107anshum.html#bufferpoolsize>tuning 
      reference</a>.</td>
  </tr>
  <tr bgcolor=#FFFFFF> 
    <td>cache blocksize</td>
    <td>4096 &nbsp; </td>
    <td>&nbsp;</td>
  </tr>
  <tr bgcolor=#FFFFFF> 
    <td>data cache size</td>
    <td>1000K &nbsp; </td>
    <td>&nbsp;</td>
  </tr>
  <tr bgcolor=#F0F0F0> 
    <td colspan=3><i>Connections</i></td>
  </tr>
  <tr bgcolor=#FFFFFF> 
    <td>current connections</td>
    <td>2 &nbsp; </td>
    <td>&nbsp;</td>
  </tr>
</table>
<p>&nbsp;<p>
<a name=informix></a>
<table border=1 bgcolor=white><tr><td
colspan=3><h3>informix</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Val
ue</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td
colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>data cache hit
ratio</td><td>95.89</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data
reads</td><td>1883884</td><td>Page reads</td></tr>
<tr><td>data writes</td><td>1716724</td><td>Page writes</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i>
&nbsp;</td></tr><tr><td>current connections</td><td>263.0</td><td>Number of
sessions</td></tr>
</table>


<p>&nbsp;</p>
<p><a name=mysql id="mysql"></a></p><table border=1 bgcolor=white><tr><td colspan=3><h3>mysql</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Value</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>MyISAM cache hit ratio</td><td>56.5658301822</td><td><font color=red><b>Cache ratio should be at least 90%</b></font></td></tr>
<tr><td>InnoDB cache hit ratio</td><td>0</td><td><font color=red><b>Cache ratio should be at least 90%</b></font></td></tr>
<tr><td>sql cache hit ratio</td><td>0</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data reads</td><td>2622</td><td>Number of selects (Key_reads is not accurate)</td></tr>
<tr><td>data writes</td><td>2415.5</td><td>Number of inserts/updates/deletes * coef (Key_writes is not accurate)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> &nbsp;</td></tr><tr><td>MyISAM data cache size</td><td>512K</td><td>&nbsp;</td></tr>
<tr><td>BDB data cache size</td><td>8388600</td><td>&nbsp;</td></tr>
<tr><td>InnoDB data cache size</td><td>8M</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Memory Pools</i> &nbsp;</td></tr><tr><td>read buffer size</td><td>131072</td><td>(per session)</td></tr>
<tr><td>sort buffer size</td><td>65528</td><td>Size of sort buffer (per session)</td></tr>
<tr><td>table cache</td><td>4</td><td>Number of tables to keep open</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> &nbsp;</td></tr><tr><td>current connections</td><td>3</td><td>&nbsp;</td></tr>
<tr><td>max connections</td><td>100</td><td>&nbsp;</td></tr>
</table>
<p>&nbsp;</p>
<p><a name=mssql id="mssql"></a></p>

<table border=1 bgcolor=white><tr><td colspan=3><h3>mssql</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Value</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>data cache hit ratio</td><td>99.9999694824</td><td>&nbsp;</td></tr>
<tr><td>prepared sql hit ratio</td><td>99.7738579828</td><td>&nbsp;</td></tr>
<tr><td>adhoc sql hit ratio</td><td>98.4540169133</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data reads</td><td>2858</td><td>&nbsp;  </td></tr>
<tr><td>data writes</td><td>1438</td><td>&nbsp;  </td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> &nbsp;</td></tr><tr><td>data cache size</td><td>4362</td><td>in K</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> &nbsp;</td></tr><tr><td>current connections</td><td>14</td><td>&nbsp;</td></tr>
<tr><td>max connections</td><td>32767</td><td>&nbsp;</td></tr>
</table>

<p>&nbsp;</p>
<p><a name=oci8 id="oci8"></a></p>
<table border=1 bgcolor=white><tr><td colspan=3><h3>oci8</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Value</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>data cache hit ratio</td><td>96.98</td><td>&nbsp;</td></tr>
<tr><td>sql cache hit ratio</td><td>99.96</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data reads</td><td>842938</td><td>&nbsp;  </td></tr>
<tr><td>data writes</td><td>16852</td><td>&nbsp;  </td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> &nbsp;</td></tr><tr><td>data cache buffers</td><td>3072</td><td>Number of cache buffers</td></tr>
<tr><td>data cache blocksize</td><td>8192</td><td>&nbsp;</td></tr>
<tr><td>data cache size</td><td>48M</td><td>shared_pool_size</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Memory Pools</i> &nbsp;</td></tr><tr><td>java pool size</td><td>0</td><td>java_pool_size</td></tr>
<tr><td>sort buffer size</td><td>512K</td><td>sort_area_size (per query)</td></tr>
<tr><td>user session buffer size</td><td>8M</td><td>large_pool_size</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> &nbsp;</td></tr><tr><td>current connections</td><td>1</td><td>&nbsp;</td></tr>
<tr><td>max connections</td><td>170</td><td>&nbsp;</td></tr>
<tr><td>data cache utilization ratio</td><td>88.46</td><td>Percentage of data cache actually in use</td></tr>
<tr><td>user cache utilization ratio</td><td>91.76</td><td>Percentage of user cache (large_pool) actually in use</td></tr>
<tr><td>rollback segments</td><td>11</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Transactions</i> &nbsp;</td></tr><tr><td>peak transactions</td><td>24</td><td>Taken from high-water-mark</td></tr>
<tr><td>max transactions</td><td>187</td><td>max transactions / rollback segments < 3.5 (or transactions_per_rollback_segment)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Parameters</i> &nbsp;</td></tr><tr><td>cursor sharing</td><td>EXACT</td><td>Cursor reuse strategy. Recommended is FORCE (8i+) or SIMILAR (9i+). See <a href=http://www.praetoriate.com/oracle_tips_cursor_sharing.htm>cursor_sharing</a>.</td></tr>
<tr><td>index cache cost</td><td>0</td><td>% of indexed data blocks expected in the cache.
			Recommended is 20-80. Default is 0. See <a href=http://www.dba-oracle.com/oracle_tips_cbo_part1.htm>optimizer_index_caching</a>.</td></tr>
<tr><td>random page cost</td><td>100</td><td>Recommended is 10-50 for TP, and 50 for data warehouses. Default is 100. See <a href=http://www.dba-oracle.com/oracle_tips_cost_adj.htm>optimizer_index_cost_adj</a>. </td></tr>
</table>
<h3>Suspicious SQL</h3>

<table border=1 bgcolor=white><tr><td><b>LOAD</b></td><td><b>EXECUTES</b></td><td><b>SQL_TEXT</b></td></tr>
<tr><td align=right>  .73%</td><td align=right>89</td><td>select u.name, o.name, t.spare1, t.pctfree$    from sys.obj$ o, sys.user$ u, sys.tab$ t    where  (bitand(t.trigflag, 1048576) = 1048576) and           o.obj#=t.obj# and o.owner# = u.user# select i.obj#, i.flags, u.name, o.name     from sys.obj$ o, sys.user$ u, sys.ind$ i    where  (bitand(i.flags, 256) = 256 or bitand(i.flags, 512) = 512) and           (not((i.type# = 9) and bitand(i.flags,8) = 8)) and           o.obj#=i.obj# and o.owner# = u.user# </td></tr>
<tr><td align=right>  .84%</td><td align=right>3</td><td>select /*+ RULE */ distinct tabs.table_name, tabs.owner , partitioned, iot_type  , TEMPORARY, table_type, table_type_owner  from DBA_ALL_TABLES tabs  where tabs.owner = :own  </td></tr>
<tr><td align=right> 3.95%</td><td align=right>6</td><td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.buffer_pool = buf.name and buf.name = 'DEFAULT'  </td></tr>
<tr><td align=right> 4.50%</td><td align=right>6</td><td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.tablespace_name = tsp.tablespace_name  </td></tr>
<tr><td align=right>57.34%</td><td align=right>9267</td><td>select t.schema, t.name, t.flags, q.name from system.aq$_queue_tables t, sys.aq$_queue_table_affinities aft,      system.aq$_queues q where aft.table_objno = t.objno and aft.owner_instance = :1 and        q.table_objno = t.objno and q.usage = 0 and       bitand(t.flags, 4+16+32+64+128+256) = 0 for update of t.name, aft.table_objno skip locked </td></tr></table>

<h3>Expensive SQL</h3>

<table border=1 bgcolor=white><tr><td><b>LOAD</b></td><td><b>EXECUTES</b></td><td><b>SQL_TEXT</b></td></tr>
<tr><td align=right> 5.24%</td><td align=right>1</td><td>select round(sum(bytes)/1048576) from dba_segments  </td></tr>
<tr><td align=right> 6.89%</td><td align=right>6</td><td>SELECT round(count(1)*avg(buf.block_size)/1048576) FROM DBA_OBJECTS obj, V$BH bh, dba_segments seg, v$buffer_pool buf WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.buffer_pool = buf.name and buf.name = 'DEFAULT'  </td></tr>
<tr><td align=right> 7.85%</td><td align=right>6</td><td>SELECT round(count(1)*avg(tsp.block_size)/1048576) FROM DBA_OBJECTS obj, V$BH bh, dba_segments seg, dba_tablespaces tsp WHERE obj.object_id = bh.objd AND obj.owner != 'SYS' and obj.owner = seg.owner and obj.object_name = seg.segment_name and obj.object_type = seg.segment_type and seg.tablespace_name = tsp.tablespace_name  </td></tr>
<tr><td align=right>33.69%</td><td align=right>89</td><td>select u.name, o.name, t.spare1, t.pctfree$    from sys.obj$ o, sys.user$ u, sys.tab$ t    where  (bitand(t.trigflag, 1048576) = 1048576) and           o.obj#=t.obj# and o.owner# = u.user# </td></tr>
<tr><td align=right>36.44%</td><td align=right>89</td><td>select i.obj#, i.flags, u.name, o.name     from sys.obj$ o, sys.user$ u, sys.ind$ i    where  (bitand(i.flags, 256) = 256 or bitand(i.flags, 512) = 512) and           (not((i.type# = 9) and bitand(i.flags,8) = 8)) and           o.obj#=i.obj# and o.owner# = u.user# </td></tr></table>

<p><a name=postgres id="postgres"></a></p>

<table border=1 bgcolor=white><tr><td colspan=3><h3>postgres7</h3></td></tr><tr><td><b>Parameter</b></td><td><b>Value</b></td><td><b>Description</b></td></tr><tr bgcolor=#F0F0F0><td colspan=3><i>Ratios</i> &nbsp;</td></tr><tr><td>statistics collector</td><td>FALSE</td><td>Must be set to TRUE to enable hit ratio statistics (<i>stats_start_collector</i>,<i>stats_row_level</i> and <i>stats_block_level</i> must be set to true in postgresql.conf)</td></tr>
<tr><td>data cache hit ratio</td><td>99.9666031916603</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>IO</i> &nbsp;</td></tr><tr><td>data reads</td><td>15</td><td>&nbsp;  </td></tr>
<tr><td>data writes</td><td>0.000000000000000000</td><td>Count of inserts/updates/deletes * coef</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Data Cache</i> &nbsp;</td></tr><tr><td>data cache buffers</td><td>1280</td><td>Number of cache buffers. <a href=http://www.varlena.com/GeneralBits/Tidbits/perf.html#basic>Tuning</a></td></tr>
<tr><td>cache blocksize</td><td>8192</td><td>(estimate)</td></tr>
<tr><td>data cache size</td><td>10M</td><td>&nbsp;</td></tr>
<tr><td>operating system cache size</td><td>80000K</td><td>(effective cache size)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Memory Pools</i> &nbsp;</td></tr><tr><td>sort buffer size</td><td>1M</td><td>Size of sort buffer (per query)</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Connections</i> &nbsp;</td></tr><tr><td>current connections</td><td>13</td><td>&nbsp;</td></tr>
<tr><td>max connections</td><td>32</td><td>&nbsp;</td></tr>
<tr bgcolor=#F0F0F0><td colspan=3><i>Parameters</i> &nbsp;</td></tr><tr><td>rollback buffers</td><td>8</td><td>WAL buffers</td></tr>
<tr><td>random page cost</td><td>4</td><td>Cost of doing a seek (default=4). See <a href=http://www.varlena.com/GeneralBits/Tidbits/perf.html#less>random_page_cost</a></td></tr>
</table>

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